# Copyright 2024 Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# from . import gsm8k, math, prime_math, prime_code


def _default_compute_score(data_source, solution_str, ground_truth):
    # if data_source == 'openai/gsm8k':
    #     from . import gsm8k
    #     res = gsm8k.compute_score(solution_str, ground_truth)
    # elif data_source in ['lighteval/MATH', 'DigitalLearningGmbH/MATH-lighteval']:
    #     from . import math
    #     res = math.compute_score(solution_str, ground_truth)
    # elif data_source in [
    #         'numina_aops_forum', 'numina_synthetic_math', 'numina_amc_aime', 'numina_synthetic_amc', 'numina_cn_k12',
    #         'numina_olympiads'
    # ]:
    #     from . import prime_math
    #     res = prime_math.compute_score(solution_str, ground_truth)
    # elif data_source in ['codecontests', 'apps', 'codeforces', 'taco']:
    #     from . import prime_code
    #     res = prime_code.compute_score(solution_str, ground_truth, continuous=True)
    # else:
    #     raise NotImplementedError
    # from . import math
    # res = math.compute_score(solution_str, ground_truth)

    from verl.utils.reward_score.deepscaler_math.math_reward import deepscaler_reward_fn
    res = deepscaler_reward_fn(solution_str, ground_truth)

    if isinstance(res, (int, float, bool)):
        return float(res)
    else:
        return float(res[0])
